探索影响消费者网购日参与的因素:以双11为例

IF 2 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shiu-Li Huang, Min-Shan Hung
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引用次数: 0

摘要

摘要随着网上购物日的普及,了解消费者如何决定参与网上购物日变得越来越重要。现有的关于网络购物日的研究将参与意愿视为一种个人意愿,无法完全理解购物日参与等群体行为。因此,本研究对网络购物的调查侧重于群体意向。本研究将在线购物日的参与视为群体行为的一种形式,并基于目标导向行为模型开发了一个概念模型来解释这种行为。梯子访谈是用来确定网上购物日的特征和各种价值,推动消费者参与网上购物日。我们发现兴奋、乐趣和享受生活、成就感、归属感和自尊是激励消费者参与的主要价值类型。此外,还进行了两次在线调查和结构方程建模来验证概念模型。结果表明,积极的预期情绪、群体规范和社会认同可以增加消费者的欲望行为、意向行为和参与行为。我们的研究结果可以帮助营销人员和网上商店经理制定策略,吸引消费者参与网上购物日。关键词:网购日价值手段终端链我们意图参与行为披露声明作者未发现潜在利益冲突。作者简介黄绍立黄绍立是台湾国立台北大学工商管理系特聘教授。主要研究方向为电子商务、共享经济、信息管理。他的论文发表在《国际电子商务杂志》、《电子商务研究与应用》、《决策支持系统》、《信息与管理》、《信息系统协会杂志》、《国际信息管理杂志》等期刊上。洪敏珊,国立台北大学工商管理硕士。她的研究兴趣是电子商务和网络营销。通过对互联网用户的调查,她有了有趣的发现,并将其呈现在文章中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EXPLORING FACTORS INFLUENCING CONSUMERS’ PARTICIPATION IN ONLINE SHOPPING DAYS: USING DOUBLE 11 DAY AS AN EXAMPLE
ABSTRACTAs online shopping days gain popularity, understanding how consumers decide to participate in an online shopping day becomes increasingly important. Extant studies on online shopping days have considered participation intention as a personal intention, which does not allow for a complete understanding of group actions like shopping day participation. Thus, our study’s investigation of online shopping focuses on group intention. This study considers participation in an online shopping day as a form of group behavior and, to explain such behavior, develops a conceptual model based on the model of goal-directed behavior. Ladder interviews are used to identify the features of an online shopping day and the kinds of value that drive consumers to participate in an online shopping day. We find that excitement, fun and enjoyment of life, a sense of accomplishment, a sense of belonging, and self-respect are the major types of value that motivate consumers to participate. Furthermore, two online surveys and a structural equation modeling are conducted to test the conceptual model. The result shows that positive anticipated emotions, group norms, and social identity can increase consumers’ desire, we-intention, and participation behavior. Our findings can help marketers and online store managers devise strategies to attract consumers to participate in online shopping days.KEYWORDS: Online shopping dayvaluemeans-end chainwe-intentionparticipation behavior Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsShiu-Li HuangShiu-Li Huang is a distinguished professor at the Department of Business Administration of National Taipei University, Taiwan. His research interests are e-commerce, sharing economy, and information management. His papers have appeared in International Journal of Electronic Commerce, Electronic Commerce Research and Applications, Decision Support Systems, Information & Management, Journal of the Association for Information Systems, International Journal of Information Management, and several other journals.Min-Shan HungMin-Shan Hung received her master’s degree in business administration from National Taipei University. Her research interests are e-commerce and online marketing. By conducting surveys with Internet users, she has interesting findings and presents them in the article.
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来源期刊
Journal of Organizational Computing and Electronic Commerce
Journal of Organizational Computing and Electronic Commerce 工程技术-计算机:跨学科应用
CiteScore
5.80
自引率
17.20%
发文量
7
审稿时长
>12 weeks
期刊介绍: The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas. JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business. Theoretical, experimental, survey, and design science research are all welcome and might look at: • E-commerce • Collaborative commerce • Interorganizational systems • Enterprise systems • Supply chain technologies • Computer-supported cooperative work • Computer-aided coordination • Economics of organizational computing • Technologies for organizational learning • Behavioral aspects of organizational computing.
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